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MJ199999
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gpt3_model

Text Generation
Transformers
TensorFlow
gpt2
generated_from_keras_callback
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  1. README.md +202 -202
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -11,9 +11,9 @@ probably proofread and complete it, then remove this comment. -->
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  # gpt3_model
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- This model is a fine-tuned version of skt/ko-gpt-trinity-1.2B-v0.5 on korean poem dataset(20C~). When you give an input of any keywords, the model generates the poem that is related to the input keyword. I'm still fine-tuning this model.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.9684
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  - Train Lr: 0.0009999999
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  - Epoch: 199
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@@ -41,206 +41,206 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Lr | Epoch |
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  |:----------:|:------------:|:-----:|
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- | 6.9783 | 0.01 | 0 |
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- | 5.7078 | 0.01 | 1 |
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- | 5.1313 | 0.01 | 2 |
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- | 4.4967 | 0.01 | 3 |
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- | 3.9272 | 0.01 | 4 |
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- | 3.4594 | 0.01 | 5 |
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- | 3.0591 | 0.01 | 6 |
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- | 2.7073 | 0.01 | 7 |
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- | 2.4512 | 0.01 | 8 |
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- | 2.2231 | 0.01 | 9 |
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- | 2.0833 | 0.01 | 10 |
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- | 1.9429 | 0.01 | 11 |
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- | 1.8434 | 0.01 | 12 |
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- | 1.7522 | 0.01 | 13 |
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- | 1.6928 | 0.01 | 14 |
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- | 1.6394 | 0.01 | 15 |
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- | 1.5898 | 0.01 | 16 |
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- | 1.5477 | 0.01 | 17 |
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- | 1.5130 | 0.01 | 18 |
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- | 1.4822 | 0.01 | 19 |
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- | 1.4550 | 0.01 | 20 |
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- | 1.4375 | 0.01 | 21 |
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- | 1.4096 | 0.01 | 22 |
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- | 1.3952 | 0.01 | 23 |
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- | 1.3756 | 0.01 | 24 |
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- | 1.3603 | 0.01 | 25 |
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- | 1.3422 | 0.01 | 26 |
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- | 1.3329 | 0.01 | 27 |
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- | 1.3221 | 0.01 | 28 |
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- | 1.3155 | 0.01 | 29 |
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- | 1.3007 | 0.01 | 30 |
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- | 1.2915 | 0.01 | 31 |
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- | 1.2869 | 0.01 | 32 |
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- | 1.2744 | 0.01 | 33 |
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- | 1.2710 | 0.01 | 34 |
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- | 1.2578 | 0.01 | 35 |
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- | 1.2550 | 0.01 | 36 |
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- | 1.2458 | 0.01 | 37 |
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- | 1.2373 | 0.01 | 38 |
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- | 1.2364 | 0.01 | 39 |
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- | 1.2332 | 0.01 | 40 |
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- | 1.2177 | 0.01 | 41 |
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- | 1.2164 | 0.01 | 42 |
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- | 1.2176 | 0.01 | 43 |
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- | 1.2129 | 0.01 | 44 |
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- | 1.2088 | 0.01 | 45 |
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- | 1.2067 | 0.01 | 46 |
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- | 1.2013 | 0.01 | 47 |
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- | 1.1933 | 0.01 | 48 |
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- | 1.1920 | 0.01 | 49 |
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- | 1.1873 | 0.01 | 50 |
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- | 1.1831 | 0.01 | 51 |
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- | 1.1795 | 0.01 | 52 |
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- | 1.1777 | 0.01 | 53 |
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- | 1.1749 | 0.01 | 54 |
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- | 1.1719 | 0.01 | 55 |
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- | 1.1622 | 0.01 | 56 |
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- | 1.1621 | 0.01 | 57 |
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- | 1.1591 | 0.01 | 58 |
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- | 1.1582 | 0.01 | 59 |
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- | 1.1620 | 0.01 | 60 |
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- | 1.1528 | 0.01 | 61 |
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- | 1.1536 | 0.01 | 62 |
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- | 1.1479 | 0.01 | 63 |
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- | 1.1458 | 0.01 | 64 |
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- | 1.1429 | 0.01 | 65 |
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- | 1.1415 | 0.01 | 66 |
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- | 1.1452 | 0.01 | 67 |
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- | 1.1398 | 0.01 | 68 |
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- | 1.1360 | 0.01 | 69 |
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- | 1.1367 | 0.01 | 70 |
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- | 1.1303 | 0.01 | 71 |
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- | 1.1339 | 0.01 | 72 |
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- | 1.1298 | 0.01 | 73 |
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- | 1.1295 | 0.01 | 74 |
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- | 1.1240 | 0.01 | 75 |
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- | 1.1255 | 0.01 | 76 |
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- | 1.1218 | 0.01 | 77 |
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- | 1.1208 | 0.01 | 78 |
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- | 1.1214 | 0.01 | 79 |
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- | 1.1187 | 0.01 | 80 |
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- | 1.1186 | 0.01 | 81 |
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- | 1.1144 | 0.01 | 82 |
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- | 1.1126 | 0.01 | 83 |
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- | 1.1144 | 0.01 | 84 |
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- | 1.1124 | 0.01 | 85 |
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- | 1.1098 | 0.01 | 86 |
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- | 1.1112 | 0.01 | 87 |
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- | 1.1074 | 0.01 | 88 |
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- | 1.1061 | 0.01 | 89 |
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- | 1.1029 | 0.01 | 90 |
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- | 1.1058 | 0.01 | 91 |
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- | 1.1011 | 0.01 | 92 |
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- | 1.1054 | 0.01 | 93 |
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- | 1.0961 | 0.01 | 94 |
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- | 1.0991 | 0.01 | 95 |
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- | 1.0947 | 0.01 | 96 |
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- | 1.0995 | 0.01 | 97 |
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- | 1.0927 | 0.01 | 98 |
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- | 1.0952 | 0.01 | 99 |
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- | 1.0940 | 0.01 | 100 |
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- | 1.0883 | 0.01 | 101 |
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- | 1.0889 | 0.01 | 102 |
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- | 1.0934 | 0.01 | 103 |
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- | 1.0910 | 0.01 | 104 |
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- | 1.0883 | 0.01 | 105 |
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- | 1.0819 | 0.01 | 106 |
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- | 1.0851 | 0.01 | 107 |
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- | 1.0841 | 0.01 | 108 |
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- | 1.0817 | 0.01 | 109 |
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- | 1.0828 | 0.01 | 110 |
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- | 1.0821 | 0.01 | 111 |
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- | 1.0813 | 0.01 | 112 |
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- | 1.0800 | 0.01 | 113 |
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- | 1.0784 | 0.01 | 114 |
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- | 1.0780 | 0.01 | 115 |
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- | 1.0769 | 0.01 | 116 |
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- | 1.0795 | 0.01 | 117 |
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- | 1.0772 | 0.01 | 118 |
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- | 1.0753 | 0.01 | 119 |
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- | 1.0767 | 0.01 | 120 |
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- | 1.0764 | 0.01 | 121 |
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- | 1.0734 | 0.01 | 122 |
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- | 1.0755 | 0.01 | 123 |
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- | 1.0756 | 0.01 | 124 |
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- | 1.0717 | 0.01 | 125 |
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- | 1.0712 | 0.01 | 126 |
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- | 1.0688 | 0.01 | 127 |
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- | 1.0701 | 0.01 | 128 |
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- | 1.0672 | 0.01 | 129 |
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- | 1.0687 | 0.01 | 130 |
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- | 1.0683 | 0.01 | 131 |
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- | 1.0652 | 0.01 | 132 |
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- | 1.0659 | 0.01 | 133 |
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- | 1.0662 | 0.01 | 134 |
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- | 1.0644 | 0.01 | 135 |
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- | 1.0601 | 0.01 | 136 |
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- | 1.0605 | 0.01 | 137 |
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- | 1.0622 | 0.01 | 138 |
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- | 1.0622 | 0.01 | 139 |
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- | 1.0592 | 0.01 | 140 |
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- | 1.0624 | 0.01 | 141 |
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- | 1.0578 | 0.01 | 142 |
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- | 1.0618 | 0.01 | 143 |
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- | 1.0591 | 0.01 | 144 |
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- | 1.0573 | 0.01 | 145 |
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- | 1.0576 | 0.01 | 146 |
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- | 1.0590 | 0.01 | 147 |
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- | 1.0570 | 0.01 | 148 |
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- | 1.0539 | 0.01 | 149 |
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- | 0.9785 | 0.0009999999 | 150 |
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- | 0.9782 | 0.0009999999 | 151 |
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- | 0.9751 | 0.0009999999 | 152 |
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- | 0.9738 | 0.0009999999 | 153 |
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- | 0.9747 | 0.0009999999 | 154 |
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- | 0.9723 | 0.0009999999 | 155 |
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- | 0.9721 | 0.0009999999 | 156 |
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- | 0.9726 | 0.0009999999 | 157 |
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- | 0.9718 | 0.0009999999 | 158 |
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- | 0.9716 | 0.0009999999 | 159 |
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- | 0.9730 | 0.0009999999 | 160 |
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- | 0.9711 | 0.0009999999 | 161 |
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- | 0.9711 | 0.0009999999 | 162 |
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- | 0.9721 | 0.0009999999 | 163 |
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- | 0.9718 | 0.0009999999 | 164 |
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- | 0.9688 | 0.0009999999 | 165 |
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- | 0.9713 | 0.0009999999 | 166 |
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- | 0.9736 | 0.0009999999 | 167 |
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- | 0.9711 | 0.0009999999 | 168 |
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- | 0.9700 | 0.0009999999 | 169 |
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- | 0.9680 | 0.0009999999 | 170 |
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- | 0.9692 | 0.0009999999 | 171 |
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- | 0.9692 | 0.0009999999 | 172 |
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- | 0.9718 | 0.0009999999 | 173 |
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- | 0.9679 | 0.0009999999 | 174 |
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- | 0.9716 | 0.0009999999 | 175 |
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- | 0.9703 | 0.0009999999 | 176 |
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- | 0.9655 | 0.0009999999 | 177 |
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- | 0.9680 | 0.0009999999 | 178 |
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- | 0.9685 | 0.0009999999 | 179 |
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- | 0.9663 | 0.0009999999 | 180 |
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- | 0.9690 | 0.0009999999 | 181 |
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- | 0.9683 | 0.0009999999 | 182 |
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- | 0.9681 | 0.0009999999 | 183 |
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- | 0.9688 | 0.0009999999 | 184 |
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- | 0.9658 | 0.0009999999 | 185 |
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- | 0.9699 | 0.0009999999 | 186 |
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- | 0.9666 | 0.0009999999 | 187 |
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- | 0.9690 | 0.0009999999 | 188 |
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- | 0.9700 | 0.0009999999 | 189 |
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- | 0.9675 | 0.0009999999 | 190 |
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- | 0.9691 | 0.0009999999 | 191 |
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- | 0.9671 | 0.0009999999 | 192 |
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- | 0.9692 | 0.0009999999 | 193 |
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- | 0.9692 | 0.0009999999 | 194 |
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- | 0.9653 | 0.0009999999 | 195 |
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- | 0.9668 | 0.0009999999 | 196 |
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- | 0.9684 | 0.0009999999 | 197 |
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- | 0.9682 | 0.0009999999 | 198 |
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- | 0.9684 | 0.0009999999 | 199 |
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  ### Framework versions
 
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  # gpt3_model
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+ This model is a fine-tuned version of [MJ199999/gpt3_model](https://huggingface.co/MJ199999/gpt3_model) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.6715
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  - Train Lr: 0.0009999999
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  - Epoch: 199
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  | Train Loss | Train Lr | Epoch |
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  |:----------:|:------------:|:-----:|
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+ | 5.9315 | 0.01 | 0 |
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+ | 4.4869 | 0.01 | 1 |
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+ | 3.4523 | 0.01 | 2 |
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+ | 2.6632 | 0.01 | 3 |
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+ | 2.1542 | 0.01 | 4 |
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+ | 1.8445 | 0.01 | 5 |
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+ | 1.6372 | 0.01 | 6 |
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+ | 1.5003 | 0.01 | 7 |
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+ | 1.3983 | 0.01 | 8 |
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+ | 1.3133 | 0.01 | 9 |
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+ | 1.2565 | 0.01 | 10 |
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+ | 1.2003 | 0.01 | 11 |
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+ | 1.1677 | 0.01 | 12 |
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+ | 1.1240 | 0.01 | 13 |
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+ | 1.1179 | 0.01 | 14 |
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+ | 1.0775 | 0.01 | 15 |
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+ | 1.0605 | 0.01 | 16 |
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+ | 1.0389 | 0.01 | 17 |
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+ | 1.0300 | 0.01 | 18 |
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+ | 1.0122 | 0.01 | 19 |
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+ | 0.9993 | 0.01 | 20 |
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+ | 0.9804 | 0.01 | 21 |
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+ | 0.9740 | 0.01 | 22 |
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+ | 0.9683 | 0.01 | 23 |
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+ | 0.9590 | 0.01 | 24 |
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+ | 0.9518 | 0.01 | 25 |
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+ | 0.9399 | 0.01 | 26 |
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+ | 0.9342 | 0.01 | 27 |
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+ | 0.9263 | 0.01 | 28 |
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+ | 0.9202 | 0.01 | 29 |
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+ | 0.9169 | 0.01 | 30 |
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+ | 0.9090 | 0.01 | 31 |
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+ | 0.9070 | 0.01 | 32 |
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+ | 0.8973 | 0.01 | 33 |
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+ | 0.8946 | 0.01 | 34 |
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+ | 0.8908 | 0.01 | 35 |
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+ | 0.8862 | 0.01 | 36 |
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+ | 0.8864 | 0.01 | 37 |
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+ | 0.8747 | 0.01 | 38 |
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+ | 0.8744 | 0.01 | 39 |
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+ | 0.8710 | 0.01 | 40 |
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+ | 0.8661 | 0.01 | 41 |
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+ | 0.8612 | 0.01 | 43 |
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+ | 0.8562 | 0.01 | 44 |
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+ | 0.8543 | 0.01 | 45 |
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+ | 0.8523 | 0.01 | 46 |
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+ | 0.8508 | 0.01 | 47 |
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+ | 0.8459 | 0.01 | 48 |
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+ | 0.8434 | 0.01 | 49 |
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+ | 0.8420 | 0.01 | 50 |
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+ | 0.8371 | 0.01 | 51 |
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+ | 0.8356 | 0.01 | 52 |
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+ | 0.8350 | 0.01 | 53 |
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+ | 0.8330 | 0.01 | 54 |
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+ | 0.8270 | 0.01 | 55 |
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+ | 0.8268 | 0.01 | 56 |
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+ | 0.8243 | 0.01 | 57 |
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+ | 0.8252 | 0.01 | 58 |
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+ | 0.8201 | 0.01 | 59 |
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+ | 0.8203 | 0.01 | 60 |
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+ | 0.8217 | 0.01 | 61 |
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+ | 0.8170 | 0.01 | 62 |
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+ | 0.8192 | 0.01 | 63 |
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+ | 0.8142 | 0.01 | 64 |
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+ | 0.8112 | 0.01 | 65 |
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+ | 0.8078 | 0.01 | 66 |
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+ | 0.8092 | 0.01 | 67 |
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+ | 0.8073 | 0.01 | 68 |
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+ | 0.8054 | 0.01 | 69 |
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+ | 0.8025 | 0.01 | 70 |
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+ | 0.8029 | 0.01 | 71 |
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+ | 0.7992 | 0.01 | 72 |
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+ | 0.7980 | 0.01 | 73 |
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+ | 0.7998 | 0.01 | 74 |
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+ | 0.7973 | 0.01 | 75 |
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+ | 0.7935 | 0.01 | 76 |
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+ | 0.7955 | 0.01 | 77 |
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+ | 0.7912 | 0.01 | 78 |
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+ | 0.7904 | 0.01 | 79 |
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+ | 0.7927 | 0.01 | 80 |
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+ | 0.7923 | 0.01 | 81 |
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+ | 0.7900 | 0.01 | 82 |
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+ | 0.7893 | 0.01 | 83 |
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+ | 0.7867 | 0.01 | 84 |
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+ | 0.7877 | 0.01 | 85 |
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+ | 0.7891 | 0.01 | 86 |
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+ | 0.7826 | 0.01 | 87 |
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+ | 0.7817 | 0.01 | 88 |
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+ | 0.7800 | 0.01 | 89 |
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+ | 0.7826 | 0.01 | 90 |
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+ | 0.7789 | 0.01 | 91 |
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+ | 0.7789 | 0.01 | 92 |
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+ | 0.7770 | 0.01 | 93 |
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+ | 0.7778 | 0.01 | 94 |
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+ | 0.7739 | 0.01 | 95 |
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+ | 0.7730 | 0.01 | 96 |
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+ | 0.7767 | 0.01 | 97 |
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+ | 0.7734 | 0.01 | 98 |
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+ | 0.7746 | 0.01 | 99 |
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+ | 0.6935 | 0.0009999999 | 100 |
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+ | 0.6886 | 0.0009999999 | 101 |
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+ | 0.6870 | 0.0009999999 | 102 |
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+ | 0.6826 | 0.0009999999 | 103 |
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+ | 0.6852 | 0.0009999999 | 104 |
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+ | 0.6852 | 0.0009999999 | 105 |
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+ | 0.6818 | 0.0009999999 | 106 |
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+ | 0.6816 | 0.0009999999 | 107 |
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+ | 0.6820 | 0.0009999999 | 108 |
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+ | 0.6797 | 0.0009999999 | 109 |
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+ | 0.6822 | 0.0009999999 | 110 |
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+ | 0.6807 | 0.0009999999 | 111 |
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+ | 0.6793 | 0.0009999999 | 112 |
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+ | 0.6808 | 0.0009999999 | 113 |
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+ | 0.6792 | 0.0009999999 | 114 |
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+ | 0.6800 | 0.0009999999 | 115 |
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+ | 0.6819 | 0.0009999999 | 116 |
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+ | 0.6794 | 0.0009999999 | 117 |
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+ | 0.6804 | 0.0009999999 | 118 |
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+ | 0.6809 | 0.0009999999 | 119 |
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+ | 0.6765 | 0.0009999999 | 120 |
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+ | 0.6783 | 0.0009999999 | 121 |
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+ | 0.6808 | 0.0009999999 | 122 |
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+ | 0.6761 | 0.0009999999 | 123 |
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+ | 0.6771 | 0.0009999999 | 124 |
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+ | 0.6775 | 0.0009999999 | 125 |
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+ | 0.6771 | 0.0009999999 | 126 |
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+ | 0.6783 | 0.0009999999 | 127 |
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+ | 0.6769 | 0.0009999999 | 128 |
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+ | 0.6781 | 0.0009999999 | 129 |
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+ | 0.6794 | 0.0009999999 | 130 |
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+ | 0.6777 | 0.0009999999 | 131 |
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+ | 0.6768 | 0.0009999999 | 132 |
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+ | 0.6773 | 0.0009999999 | 133 |
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+ | 0.6768 | 0.0009999999 | 134 |
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+ | 0.6768 | 0.0009999999 | 135 |
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+ | 0.6748 | 0.0009999999 | 136 |
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+ | 0.6770 | 0.0009999999 | 137 |
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+ | 0.6750 | 0.0009999999 | 138 |
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+ | 0.6778 | 0.0009999999 | 139 |
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+ | 0.6781 | 0.0009999999 | 140 |
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+ | 0.6775 | 0.0009999999 | 141 |
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+ | 0.6771 | 0.0009999999 | 142 |
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+ | 0.6731 | 0.0009999999 | 143 |
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+ | 0.6759 | 0.0009999999 | 144 |
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+ | 0.6765 | 0.0009999999 | 145 |
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+ | 0.6745 | 0.0009999999 | 146 |
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+ | 0.6777 | 0.0009999999 | 147 |
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+ | 0.6788 | 0.0009999999 | 148 |
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+ | 0.6736 | 0.0009999999 | 149 |
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+ | 0.6761 | 0.0009999999 | 150 |
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+ | 0.6752 | 0.0009999999 | 151 |
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+ | 0.6754 | 0.0009999999 | 152 |
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+ | 0.6770 | 0.0009999999 | 153 |
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+ | 0.6741 | 0.0009999999 | 154 |
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+ | 0.6736 | 0.0009999999 | 155 |
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+ | 0.6733 | 0.0009999999 | 156 |
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+ | 0.6787 | 0.0009999999 | 157 |
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+ | 0.6731 | 0.0009999999 | 158 |
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+ | 0.6734 | 0.0009999999 | 159 |
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+ | 0.6742 | 0.0009999999 | 160 |
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+ | 0.6747 | 0.0009999999 | 161 |
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+ | 0.6765 | 0.0009999999 | 162 |
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+ | 0.6745 | 0.0009999999 | 163 |
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+ | 0.6746 | 0.0009999999 | 164 |
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+ | 0.6749 | 0.0009999999 | 165 |
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+ | 0.6753 | 0.0009999999 | 166 |
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+ | 0.6725 | 0.0009999999 | 167 |
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+ | 0.6768 | 0.0009999999 | 168 |
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+ | 0.6771 | 0.0009999999 | 169 |
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+ | 0.6731 | 0.0009999999 | 170 |
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+ | 0.6750 | 0.0009999999 | 171 |
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+ | 0.6729 | 0.0009999999 | 172 |
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+ | 0.6755 | 0.0009999999 | 173 |
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+ | 0.6740 | 0.0009999999 | 174 |
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+ | 0.6741 | 0.0009999999 | 175 |
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+ | 0.6731 | 0.0009999999 | 176 |
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+ | 0.6681 | 0.0009999999 | 177 |
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+ | 0.6735 | 0.0009999999 | 178 |
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+ | 0.6710 | 0.0009999999 | 179 |
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+ | 0.6730 | 0.0009999999 | 180 |
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+ | 0.6725 | 0.0009999999 | 181 |
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+ | 0.6737 | 0.0009999999 | 182 |
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+ | 0.6750 | 0.0009999999 | 183 |
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+ | 0.6735 | 0.0009999999 | 184 |
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+ | 0.6731 | 0.0009999999 | 185 |
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+ | 0.6735 | 0.0009999999 | 186 |
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+ | 0.6733 | 0.0009999999 | 187 |
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+ | 0.6713 | 0.0009999999 | 188 |
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+ | 0.6745 | 0.0009999999 | 189 |
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+ | 0.6718 | 0.0009999999 | 190 |
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+ | 0.6725 | 0.0009999999 | 191 |
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+ | 0.6727 | 0.0009999999 | 192 |
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+ | 0.6725 | 0.0009999999 | 193 |
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+ | 0.6739 | 0.0009999999 | 194 |
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+ | 0.6728 | 0.0009999999 | 195 |
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+ | 0.6726 | 0.0009999999 | 196 |
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+ | 0.6718 | 0.0009999999 | 197 |
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+ | 0.6722 | 0.0009999999 | 198 |
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+ | 0.6715 | 0.0009999999 | 199 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
2
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